The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-25"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "42990712 (up from 42613453 yesterday: 0.89 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1153631 (up from 1149784 yesterday: 0.33 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 7837113

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.68



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8635966 60789 0.71 1218121 225229 340 0.15 2.61
India 7909959 45148 0.57 1286144 119014 480 0.40 1.50
Brazil 5380635 0 0.00 465346 156903 0 0.00 2.92
Russia 1503652 16392 1.10 294613 25875 228 0.89 1.72
France 1130143 45484 4.19 500634 34673 137 0.40 3.07
Argentina 1090589 9253 0.86 292103 28896 283 0.99 2.65
Spain 1046132 0 0.00 256200 34752 0 0.00 3.32
Colombia 1015885 8174 0.81 160833 30000 0 0.00 2.95
Mexico 891160 4360 0.49 129495 88924 181 0.20 9.98
Peru 888715 5599 0.63 67151 34149 116 0.34 3.84
United Kingdom 876840 19797 2.31 371221 44986 151 0.34 5.13
South Africa 715868 1622 0.23 34579 18968 24 0.13 2.65
Iran 568896 6191 1.10 97124 32616 296 0.92 5.73
Italy 525782 21273 4.22 200453 37338 128 0.34 7.10
Chile 502063 1521 0.30 31884 13944 52 0.37 2.78
Iraq 451707 2554 0.57 72566 10623 55 0.52 2.35
Germany 437698 2900 0.67 136125 10062 27 0.27 2.30
Bangladesh 398815 1308 0.33 30125 5803 23 0.40 1.46
Indonesia 389712 3732 0.97 86214 13299 94 0.71 3.41
Philippines 370028 2209 0.60 47531 6977 43 0.62 1.89
Turkey 361801 2017 0.56 37358 9799 72 0.74 2.71
Ukraine 353723 6406 1.84 121299 6566 103 1.59 1.86
Saudi Arabia 344875 323 0.09 8488 5296 15 0.28 1.54
Pakistan 328602 707 0.22 13986 6739 3 0.04 2.05
Belgium 321031 15622 5.12 190796 10810 73 0.68 3.37
Israel 309946 533 0.17 43171 2397 25 1.05 0.77
Netherlands 297466 10237 3.56 156240 7108 27 0.38 2.39
Czechia 258097 7300 2.91 175651 2201 124 5.97 0.85
Poland 253688 11742 4.85 153614 4438 87 2.00 1.75
Canada 218874 2823 1.31 50373 9995 26 0.26 4.57
Romania 209648 3855 1.87 73748 6391 73 1.16 3.05
Morocco 197481 3020 1.55 64209 3301 46 1.41 1.67
Ecuador 161635 2021 1.27 20601 12553 11 0.09 7.77
Nepal 158089 2856 1.84 71266 847 5 0.59 0.54
Bolivia 140853 74 0.05 3985 8645 18 0.21 6.14
Qatar 131170 205 0.16 4672 230 1 0.44 0.18
Panama 129200 685 0.53 13914 2633 5 0.19 2.04
United Arab Emirates 125123 1359 1.10 26322 477 2 0.42 0.38
Dominican Republic 124527 509 0.41 10047 2223 3 0.14 1.79
Kuwait 121635 708 0.59 14610 746 2 0.27 0.61
Portugal 118686 2577 2.22 39535 2316 19 0.83 1.95
Oman 112932 1095 0.98 11662 1174 27 2.35 1.04
Sweden 110594 0 0.00 16311 5933 0 0.00 5.36
Kazakhstan 110542 140 0.13 2306 1796 0 0.00 1.62
Egypt 106540 143 0.13 2857 6199 12 0.19 5.82
Guatemala 104787 155 0.15 10824 3644 35 0.97 3.48
Switzerland 103653 0 0.00 49269 2083 2 0.10 2.01
Costa Rica 103088 0 0.00 23906 1282 0 0.00 1.24
Japan 97095 496 0.51 11349 1716 6 0.35 1.77
Ethiopia 93343 485 0.52 14524 1426 7 0.49 1.53
Honduras 93214 490 0.53 13585 2623 6 0.23 2.81
Belarus 92823 845 0.92 12971 957 4 0.42 1.03
China 91151 23 0.03 522 4739 0 0.00 5.20
Venezuela 89565 423 0.47 11131 773 3 0.39 0.86
Austria 80811 2782 3.57 32665 979 14 1.45 1.21
Bahrain 80255 280 0.35 7593 312 0 0.00 0.39
Armenia 77837 2314 3.06 25341 1180 23 1.99 1.52
Moldova 71503 414 0.58 14924 1685 16 0.96 2.36
Lebanon 71390 1484 2.12 26908 565 3 0.53 0.79
Uzbekistan 65307 384 0.59 6695 549 5 0.92 0.84
Nigeria 61992 62 0.10 2647 1130 1 0.09 1.82
Paraguay 59594 551 0.93 15412 1309 16 1.24 2.20
Hungary 59247 3149 5.61 28672 1425 35 2.52 2.41
Singapore 57970 5 0.01 158 28 0 0.00 0.05
Ireland 57128 1020 1.82 19096 1882 0 0.00 3.29
Algeria 56143 263 0.47 4007 1914 7 0.37 3.41
Libya 56013 1639 3.01 19204 795 5 0.63 1.42
Kyrgyzstan 55750 606 1.10 8322 1134 4 0.35 2.03
Jordan 53087 2337 4.60 37447 579 39 7.22 1.09
West Bank and Gaza 50442 453 0.91 8944 448 5 1.13 0.89
Azerbaijan 49959 946 1.93 9268 671 7 1.05 1.34
Kenya 49721 931 1.91 10294 902 6 0.67 1.81
Tunisia 48799 0 0.00 26569 819 0 0.00 1.68
Ghana 47690 0 0.00 861 316 0 0.00 0.66
Burma 44774 986 2.25 26980 1095 29 2.72 2.45
Slovakia 43843 3042 7.46 30704 159 0 0.00 0.36
Bosnia and Herzegovina 40893 1135 2.85 12539 1086 11 1.02 2.66
Denmark 40863 945 2.37 10695 702 2 0.29 1.72
Afghanistan 40833 65 0.16 1492 1514 3 0.20 3.71
Serbia 39486 614 1.58 5585 792 3 0.38 2.01
Bulgaria 37889 327 0.87 16302 1094 10 0.92 2.89
Croatia 36380 2421 7.13 18721 437 8 1.86 1.20
El Salvador 32585 0 0.00 3135 949 5 0.53 2.91
Greece 30782 790 2.63 10940 574 10 1.77 1.86
Georgia 28431 1928 7.27 20313 201 8 4.15 0.71
Australia 27525 12 0.04 377 905 0 0.00 3.29
North Macedonia 26954 560 2.12 8164 919 22 2.45 3.41
Malaysia 26565 823 3.20 14184 229 8 3.62 0.86
Korea, South 25955 119 0.46 1791 457 0 0.00 1.76
Slovenia 22950 1676 7.88 16452 240 5 2.13 1.05
Cameroon 21570 0 0.00 646 425 0 0.00 1.97
Cote d’Ivoire 20470 41 0.20 588 122 1 0.83 0.60
Albania 19157 299 1.59 4891 477 4 0.85 2.49
Kosovo 17943 186 1.05 2129 663 2 0.30 3.70
Norway 17909 160 0.90 3452 279 0 0.00 1.56
Madagascar 16968 0 0.00 410 244 0 0.00 1.44
Montenegro 16797 168 1.01 4670 266 3 1.14 1.58
Zambia 16117 0 0.00 1065 348 0 0.00 2.16
Senegal 15551 8 0.05 457 321 0 0.00 2.06
Finland 14848 196 1.34 4310 353 0 0.00 2.38
Sudan 13742 0 0.00 89 837 0 0.00 6.09
Luxembourg 12851 0 0.00 4142 141 0 0.00 1.10
Namibia 12660 81 0.64 1034 133 0 0.00 1.05
Mozambique 11986 91 0.77 2790 86 1 1.18 0.72
Guinea 11635 0 0.00 881 71 0 0.00 0.61
Maldives 11505 84 0.74 975 37 0 0.00 0.32
Uganda 11443 146 1.29 2635 101 2 2.02 0.88
Congo (Kinshasa) 11143 0 0.00 383 305 0 0.00 2.74
Tajikistan 10776 40 0.37 841 81 0 0.00 0.75
Lithuania 10184 606 6.33 4999 134 5 3.88 1.32

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 906596 2912 0.32 73883 17358 15 0.09 1.91 22944.70 439.31 1 in 44
Texas 892006 3644 0.41 101812 17955 40 0.22 2.01 30763.20 619.23 1 in 33
Florida 778636 2385 0.31 62177 16429 12 0.07 2.11 36253.17 764.93 1 in 28
New York 495464 1632 0.33 30882 33422 4 0.01 6.75 25469.06 1718.04 1 in 39
Illinois 378958 4057 1.08 74723 9775 24 0.25 2.58 29905.57 771.40 1 in 33
Georgia 350923 1318 0.38 27998 7809 1 0.01 2.23 33051.62 735.49 1 in 30
North Carolina 260099 1807 0.70 42603 4157 13 0.31 1.60 24799.48 396.35 1 in 40
Tennessee 247587 3500 1.43 46377 3131 31 1.00 1.26 36233.09 458.21 1 in 28
Arizona 238163 1391 0.59 17409 5874 5 0.09 2.47 31275.95 771.38 1 in 32
New Jersey 228468 1129 0.50 20266 16285 4 0.02 7.13 25722.03 1833.44 1 in 39
Pennsylvania 198713 1343 0.68 30587 8647 11 0.13 4.35 15522.04 675.44 1 in 64
Wisconsin 198166 3626 1.86 65503 1778 8 0.45 0.90 34034.91 305.37 1 in 29
Ohio 198115 2309 1.18 39208 5206 0 0.00 2.63 16948.70 445.37 1 in 59
Alabama 184355 1079 0.59 25186 2866 0 0.00 1.55 37599.03 584.52 1 in 27
Louisiana 179842 972 0.54 11548 5837 17 0.29 3.25 38685.73 1255.59 1 in 26
Michigan 175612 0 0.00 34341 7522 0 0.00 4.28 17584.31 753.19 1 in 57
Virginia 172774 983 0.57 21132 3575 1 0.03 2.07 20241.77 418.84 1 in 49
Missouri 171796 1967 1.16 37717 2820 12 0.43 1.64 27991.53 459.48 1 in 36
South Carolina 170678 1337 0.79 19096 3802 9 0.24 2.23 33149.64 738.44 1 in 30
Indiana 162607 2153 1.34 37461 4130 12 0.29 2.54 24153.55 613.47 1 in 41
Massachusetts 150565 1077 0.72 15618 9864 25 0.25 6.55 21665.58 1419.38 1 in 46
Maryland 140279 792 0.57 12989 4096 5 0.12 2.92 23203.18 677.51 1 in 43
Minnesota 133802 1680 1.27 29976 2402 21 0.88 1.80 23725.31 425.91 1 in 42
Oklahoma 116736 1051 0.91 25988 1249 4 0.32 1.07 29501.35 315.65 1 in 34
Iowa 116238 1402 1.22 23494 1635 1 0.06 1.41 36841.65 518.21 1 in 27
Mississippi 115088 0 0.00 14600 3255 0 0.00 2.83 38670.11 1093.70 1 in 26
Arkansas 106115 797 0.76 19102 1812 15 0.83 1.71 35162.74 600.43 1 in 28
Utah 104882 1765 1.71 27264 572 4 0.70 0.55 32714.71 178.42 1 in 31
Washington 102913 649 0.63 13039 2296 0 0.00 2.23 13514.70 301.51 1 in 74
Kentucky 96942 1462 1.53 24325 1407 3 0.21 1.45 21698.54 314.93 1 in 46
Nevada 95703 891 0.94 13603 1744 5 0.29 1.82 31070.83 566.21 1 in 32
Colorado 95066 1689 1.81 22012 2223 5 0.23 2.34 16508.14 386.02 1 in 61
Kansas 75816 278 0.37 14836 956 0 0.00 1.26 26023.97 328.15 1 in 38
Connecticut 66052 0 0.00 7755 4577 0 0.00 6.93 18526.42 1283.77 1 in 54
Nebraska 63797 582 0.92 15990 596 1 0.17 0.93 32980.12 308.10 1 in 30
Puerto Rico 62503 1223 2.00 11828 801 7 0.88 1.28 19570.75 250.81 1 in 51
Idaho 59344 650 1.11 15380 573 1 0.17 0.97 33114.87 319.74 1 in 30
Oregon 42101 362 0.87 7331 653 0 0.00 1.55 9981.89 154.82 1 in 100
New Mexico 41863 823 2.01 11386 967 2 0.21 2.31 19964.91 461.17 1 in 50
South Dakota 39203 1062 2.78 14785 375 9 2.46 0.96 44314.25 423.89 1 in 23
North Dakota 37719 845 2.29 14169 456 8 1.79 1.21 49495.97 598.38 1 in 20
Rhode Island 30118 0 0.00 5042 1177 0 0.00 3.91 28430.35 1111.05 1 in 35
Montana 27880 738 2.72 13245 297 3 1.02 1.07 26085.87 277.89 1 in 38
Delaware 23961 114 0.48 2718 681 1 0.15 2.84 24606.58 699.35 1 in 41
West Virginia 21907 191 0.88 5272 425 1 0.24 1.94 12258.09 237.81 1 in 82
District of Columbia 16767 61 0.37 1248 642 0 0.00 3.83 23757.74 909.67 1 in 42
Hawaii 14672 119 0.82 1868 212 0 0.00 1.44 10362.52 149.73 1 in 97
Alaska 13008 523 4.19 4603 68 0 0.00 0.52 17781.54 92.95 1 in 56
Wyoming 11041 236 2.18 4537 68 0 0.00 0.62 19077.03 117.49 1 in 52
New Hampshire 10328 90 0.88 1683 473 0 0.00 4.58 7595.73 347.87 1 in 132
Maine 6199 63 1.03 680 146 0 0.00 2.36 4611.62 108.61 1 in 217
Vermont 2073 30 1.47 288 58 0 0.00 2.80 3322.17 92.95 1 in 301

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 17787885 906596 5.10 2627598 73883 2.81 450186.9
2 Texas 7762242 892006 11.49 1224357 101812 8.32 267701.5
3 Florida 5952723 778636 13.08 555849 62177 11.19 277157.8
4 New York 13752123 495464 3.60 2531503 30882 1.22 706920.6
5 Illinois 7273665 378958 5.21 1384508 74723 5.40 574003.1
6 Georgia 3445032 350923 10.19 426414 27998 6.57 324469.7
7 North Carolina 3844453 260099 6.77 683485 42603 6.23 366554.4
8 Tennessee 3546736 247587 6.98 576348 46377 8.05 519046.6
9 Arizona 1706407 238163 13.96 210276 17409 8.28 224088.1
10 New Jersey 4385882 228468 5.21 651788 20266 3.11 493783.8
11 Pennsylvania 2424265 198713 8.20 329095 30587 9.29 189366.3
12 Wisconsin 1976943 198166 10.02 371302 65503 17.64 339538.9
13 Ohio 4199457 198115 4.72 842782 39208 4.65 359262.7
14 Alabama 1302666 184355 14.15 140148 25186 17.97 265677.5
15 Louisiana 2697507 179842 6.67 313837 11548 3.68 580259.5
16 Michigan 4579991 175612 3.83 815717 34341 4.21 458601.8
17 Virginia 2510113 172774 6.88 396235 21132 5.33 294078.5
18 Missouri 2406847 171796 7.14 1056102 37717 3.57 392158.9
19 South Carolina 1706414 170678 10.00 328328 19096 5.82 331425.3
20 Indiana 2711078 162607 6.00 1293015 37461 2.90 402702.0
21 Massachusetts 5668015 150565 2.66 1333514 15618 1.17 815600.1
22 Maryland 3266149 140279 4.29 1606302 12989 0.81 540245.1
23 Minnesota 2660323 133802 5.03 513912 29976 5.83 471719.2
24 Oklahoma 1533760 116736 7.61 285369 25988 9.11 387609.6
25 Iowa 863361 116238 13.46 77794 23494 30.20 273642.4
26 Mississippi 844632 115088 13.63 105301 14600 13.87 283800.3
27 Arkansas 1288000 106115 8.24 215657 19102 8.86 426797.5
28 Utah 1031511 104882 10.17 170617 27264 15.98 321748.1
29 Washington 2360387 102913 4.36 437431 13039 2.98 309969.8
30 Kentucky 1785186 96942 5.43 350662 24325 6.94 399578.5
31 Nevada 787869 95703 12.15 74480 13603 18.26 255788.7
32 Colorado 1818196 95066 5.23 403860 22012 5.45 315728.3
33 Kansas 616262 75816 12.30 85145 14836 17.42 211533.0
34 Connecticut 2115744 66052 3.12 439334 7755 1.77 593428.8
35 Nebraska 567426 63797 11.24 94073 15990 17.00 293333.2
37 Idaho 368569 59344 16.10 52199 15380 29.46 205667.2
38 Oregon 825250 42101 5.10 119814 7331 6.12 195661.8
39 New Mexico 1109095 41863 3.77 167583 11386 6.79 528939.2
40 South Dakota 245930 39203 15.94 46155 14785 32.03 277994.1
41 North Dakota 784157 37719 4.81 145837 14169 9.72 1028993.7
42 Rhode Island 1034572 30118 2.91 237558 5042 2.12 976600.0
43 Montana 465607 27880 5.99 108194 13245 12.24 435644.3
44 Delaware 339341 23961 7.06 45252 2718 6.01 348483.8
45 West Virginia 723207 21907 3.03 133128 5272 3.96 404671.2
46 District of Columbia 496232 16767 3.38 96407 1248 1.29 703128.2
47 Hawaii 500456 14672 2.93 196307 1868 0.95 353461.3
48 Alaska 559969 13008 2.32 83151 4603 5.54 765460.8
49 Wyoming 124727 11041 8.85 21159 4537 21.44 215507.7
50 New Hampshire 579186 10328 1.78 118137 1683 1.42 425962.6
51 Maine 574389 6199 1.08 125048 680 0.54 427305.4
52 Vermont 185607 2073 1.12 19087 288 1.51 297452.4

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1648665 3645 0.22 1470660 89.20 134137 43348 84 0.19 2.63
Andhra Pradesh 808924 1901 0.24 773548 95.63 28770 6606 19 0.29 0.82
Karnataka 805947 3130 0.39 719558 89.28 75423 10947 42 0.39 1.36
Tamil Nadu 711713 2708 0.38 671489 94.35 29268 10956 32 0.29 1.54
Uttar Pradesh 472068 1798 0.38 438512 92.89 26654 6902 20 0.29 1.46
Kerala 397218 4287 1.09 302017 76.03 93745 1353 20 1.50 0.34
Delhi 359488 2832 0.79 327390 91.07 25786 6312 54 0.86 1.76
West Bengal 353822 4121 1.18 310086 87.64 37190 6546 59 0.91 1.85
Odisha 282695 1480 0.53 266105 94.13 15278 1312 14 1.08 0.46
Telangana 231834 582 0.25 211912 91.41 18611 1311 4 0.31 0.57
Bihar 212705 513 0.24 202007 94.97 9639 1058 9 0.86 0.50
Assam 204386 215 0.11 188584 92.27 14891 908 2 0.22 0.44
Rajasthan 188048 1805 0.97 169962 90.38 16233 1853 14 0.76 0.99
Chhattisgarh 177608 1649 0.94 153654 86.51 22093 1861 43 2.37 1.05
Gujarat 168081 908 0.54 150750 89.69 13638 3693 4 0.11 2.20
Madhya Pradesh 167969 720 0.43 154222 91.82 10857 2890 5 0.17 1.72
Haryana 159457 1153 0.73 147566 92.54 10154 1737 10 0.58 1.09
Punjab 131391 751 0.57 123047 93.65 4219 4125 18 0.44 3.14
Jharkhand 99906 220 0.22 93368 93.46 5666 872 6 0.69 0.87
Jammu and Kashmir 92225 364 0.40 83485 90.52 7296 1444 6 0.42 1.57
Uttarakhand 60744 589 0.98 55188 90.85 4080 1001 17 1.73 1.65
Goa 42532 290 0.69 39433 92.71 2517 582 6 1.04 1.37
Puducherry 34336 143 0.42 29990 87.34 3758 588 0 0.00 1.71
Tripura 30254 36 0.12 28046 92.70 1845 340 0 0.00 1.12
Himachal Pradesh 20586 216 1.06 17760 86.27 2508 288 2 0.70 1.40
Manipur 17424 264 1.54 13057 74.94 4223 144 5 3.60 0.83
Arunachal Pradesh 14391 180 1.27 12182 84.65 2174 35 2 6.06 0.24
Chandigarh 14085 108 0.77 13230 93.93 633 222 6 2.78 1.58
Meghalaya 9020 0 0.00 7332 81.29 1604 81 0 0.00 0.90
Nagaland 8626 111 1.30 6653 77.13 1865 25 1 4.17 0.29
Ladakh 5978 45 0.76 5216 87.25 691 71 0 0.00 1.19
Andaman and Nicobar Islands 4253 8 0.19 3997 93.98 198 58 0 0.00 1.36
Sikkim 3840 70 1.86 3448 89.79 245 65 2 3.17 1.69
Dadra and Nagar Haveli and Daman and Diu 3226 0 0.00 3147 97.55 51 2 0 0.00 0.06
Mizoram 2493 46 1.88 2209 88.61 284 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2715715 154363 5762 3.88 5.68 2326 231 47983 17235 11.17
Piemonte 944133 55535 2287 4.29 5.88 1601 94 19877 4259 7.67
Emilia-Romagna 1476451 46734 1192 2.62 3.17 757 88 14828 4561 9.76
Veneto 2238353 44337 1468 3.42 1.98 585 71 16972 2329 5.25
Campania 860203 38613 2590 7.19 4.49 1151 113 28720 571 1.48
Lazio 1294172 34238 1541 4.71 2.65 1476 146 22815 1100 3.21
Toscana 1000835 31290 1863 6.33 3.13 714 111 17320 1262 4.03
Liguria 409770 23051 657 2.93 5.63 696 41 6036 1691 7.34
Sicilia 642351 16897 695 4.29 2.63 642 95 10555 428 2.53
Puglia 522951 14546 515 3.67 2.78 548 57 7872 663 4.56
Marche 303279 11440 521 4.77 3.77 178 23 3726 1003 8.77
Friuli Venezia Giulia 508057 8161 334 4.27 1.61 112 23 3027 374 4.58
Abruzzo 266853 8068 368 4.78 3.02 245 18 4085 514 6.37
P.A. Trento 275017 7792 104 1.35 2.83 72 4 1332 425 5.45
Sardegna 248525 7759 195 2.58 3.12 299 34 4754 191 2.46
Umbria 277303 7295 463 6.78 2.63 215 29 4395 105 1.44
P.A. Bolzano 218797 6434 339 5.56 2.94 147 11 3187 296 4.60
Calabria 257594 3790 179 4.96 1.47 106 10 2013 106 2.80
Valle d’Aosta 37826 2525 97 4.00 6.68 63 2 1181 153 6.06
Basilicata 96422 1696 77 4.76 1.76 53 5 1013 44 2.59
Molise 59395 1218 26 2.18 2.05 20 2 550 28 2.30

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 100114 879 0.89 6143 11 0.18 6.14 11726.14 719.52 1 in 85
Ontario 73143 1720 2.41 3141 9 0.29 4.29 4971.71 213.50 1 in 201
Alberta 24261 0 0.00 300 0 0.00 1.24 5497.44 67.98 1 in 182
British Columbia 12554 0 0.00 256 0 0.00 2.04 2456.31 50.09 1 in 407
Manitoba 4249 161 3.94 54 4 8.00 1.27 3084.54 39.20 1 in 324
Saskatchewan 2729 60 2.25 25 0 0.00 0.92 2309.45 21.16 1 in 433
Nova Scotia 1100 0 0.00 65 0 0.00 5.91 1125.37 66.50 1 in 889
New Brunswick 328 2 0.61 6 2 50.00 1.83 420.52 7.69 1 in 2378
Newfoundland and Labrador 290 1 0.35 4 0 0.00 1.38 556.23 7.67 1 in 1798
Prince Edward Island 64 0 0.00 0 0 NaN 0.00 404.66 0.00 1 in 2471
Yukon 20 0 0.00 0 0 NaN 0.00 486.88 0.00 1 in 2054
Northwest Territories 9 0 0.00 0 0 NaN 0.00 200.43 0.00 1 in 4989

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5295 105 1.98
Guangdong 1908 8 0.42
Henan 1283 22 1.71
Zhejiang 1283 1 0.08
Shanghai 1139 7 0.61
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 940 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 734 3 0.41
Jiangsu 670 0 0.00
Chongqing 589 6 1.02
Shaanxi 444 3 0.68
Fujian 430 1 0.23
Hebei 369 6 1.63
Liaoning 283 2 0.71
Inner Mongolia 277 1 0.36
Guangxi 260 2 0.77
Tianjin 260 3 1.15
Shanxi 212 0 0.00
Yunnan 211 2 0.95
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 26393.54 688.35 1 in 38
India 5907.36 88.88 1 in 169
Brazil 25707.76 749.66 1 in 39
Russia 10405.90 179.07 1 in 96
France 16870.32 517.58 1 in 59
Argentina 24634.94 652.72 1 in 41
Spain 22420.32 744.79 1 in 45
Colombia 20702.77 611.37 1 in 48
Mexico 6897.52 688.27 1 in 145
Peru 27625.58 1061.52 1 in 36
United Kingdom 13197.47 677.09 1 in 76
South Africa 12621.09 334.41 1 in 79
Iran 7009.56 401.87 1 in 143
Italy 8693.49 617.36 1 in 115
Chile 27815.12 772.52 1 in 36
Iraq 11803.16 277.58 1 in 85
Germany 5286.85 121.54 1 in 189
Bangladesh NA NA 1 in NA
Indonesia 1476.18 50.38 1 in 677
Philippines 3527.44 66.51 1 in 283

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 299760 6993 2.33
Miami-Dade Florida 181942 3612 1.99
Cook Illinois 175586 5421 3.09
Harris Texas 158758 2783 1.75
Maricopa Arizona 154182 3540 2.30
Dallas Texas 92845 1220 1.31
Broward Florida 83450 1520 1.82
Clark Nevada 78897 1492 1.89
Queens New York 76220 7291 9.57
Kings New York 74553 7383 9.90
Riverside California 65902 1279 1.94
Bexar Texas 64616 1394 2.16
Tarrant Texas 63792 814 1.28
San Bernardino California 62619 1072 1.71
Orange California 58573 1447 2.47
Bronx New York 55011 4986 9.06
San Diego California 54583 870 1.59
Palm Beach Florida 50525 1561 3.09
Nassau New York 49312 2208 4.48
Suffolk New York 48663 2019 4.15
Hillsborough Florida 46907 759 1.62
Orange Florida 45042 546 1.21
Salt Lake Utah 45042 298 0.66
Philadelphia Pennsylvania 41972 1853 4.41
Westchester New York 40131 1470 3.66
Wayne Michigan 39660 3045 7.68
El Paso Texas 39326 595 1.51
Milwaukee Wisconsin 38960 569 1.46
Shelby Tennessee 36376 562 1.54
New York New York 35723 3192 8.94
Hidalgo Texas 34970 1919 5.49
Duval Florida 34260 513 1.50
Hennepin Minnesota 34033 991 2.91
Kern California 33813 416 1.23
Mecklenburg North Carolina 33065 381 1.15
Franklin Ohio 32241 642 1.99
Prince George’s Maryland 32225 853 2.65
Davidson Tennessee 31748 337 1.06
Travis Texas 31551 449 1.42
Middlesex Massachusetts 31257 2252 7.20
Fulton Georgia 30838 618 2.00
Fresno California 30752 436 1.42
Gwinnett Georgia 30306 440 1.45
St. Louis Missouri 29588 870 2.94
Utah Utah 27833 78 0.28
Suffolk Massachusetts 27571 1169 4.24
Pima Arizona 27484 636 2.31
King Washington 26329 798 3.03
Marion Indiana 25871 792 3.06
Sacramento California 25372 484 1.91
Montgomery Maryland 25147 867 3.45
Pinellas Florida 25130 816 3.25
Bergen New Jersey 24527 2058 8.39
Oakland Michigan 24343 1235 5.07
Santa Clara California 24144 388 1.61
Cameron Texas 23976 1075 4.48
Essex New Jersey 23771 2140 9.00
Oklahoma Oklahoma 23565 227 0.96
Fairfax Virginia 23351 606 2.60
Alameda California 23312 461 1.98
Jefferson Alabama 23292 377 1.62
Essex Massachusetts 23175 1340 5.78
DuPage Illinois 22783 606 2.66
Lee Florida 22711 506 2.23
Hudson New Jersey 22573 1527 6.76
Polk Florida 22541 615 2.73
Fairfield Connecticut 22322 1430 6.41
Cobb Georgia 21750 454 2.09
Middlesex New Jersey 21668 1444 6.66
San Joaquin California 21630 489 2.26
Douglas Nebraska 21606 217 1.00
Tulsa Oklahoma 21584 200 0.93
Providence Rhode Island 21543 930 4.32
Jefferson Kentucky 21507 348 1.62
Nueces Texas 21166 440 2.08
DeKalb Georgia 20977 395 1.88
Wake North Carolina 20708 270 1.30
Lake Illinois 20630 510 2.47
Passaic New Jersey 20444 1261 6.17
Cuyahoga Ohio 20278 685 3.38
Baltimore Maryland 20208 665 3.29
Union New Jersey 19559 1368 6.99
Polk Iowa 18874 288 1.53
Jefferson Louisiana 18624 584 3.14
Contra Costa California 18621 241 1.29
Will Illinois 18356 427 2.33
Macomb Michigan 18025 1084 6.01
Collin Texas 17690 175 0.99
Rockland New York 17685 683 3.86
Stanislaus California 17629 396 2.25
Tulare California 17495 286 1.63
Baltimore City Maryland 17440 501 2.87
Denver Colorado 17407 448 2.57
Fort Bend Texas 17392 306 1.76
Hamilton Ohio 17388 344 1.98
Greenville South Carolina 17206 342 1.99
Lubbock Texas 17141 165 0.96
Richland South Carolina 17064 266 1.56
Hartford Connecticut 17062 1464 8.58
Richmond New York 17048 1094 6.42

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc